FoveaCam: A MEMS Mirror-Enabled Foveating Camera
FoveaCam: A MEMS Mirror-Enabled Foveating Camera
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DOI：
10.1109/iccp48838.2020.9105183
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发表时间：
2020-04
期刊：
影响因子：
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通讯作者：
Brevin Tilmon;Eakta Jain;S. Ferrari;S. Koppal
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文献类型：
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作者：
Brevin Tilmon;Eakta Jain;S. Ferrari;S. Koppal
今天的大多数相机拍摄他们的整个视野。相比之下，几十年的主动视觉研究已经提出了中央凹相机设计，允许选择性的场景观看。然而，主动视觉的影响受到机械相机移动的缓慢选项的限制。我们提出了一种新的设计，称为FoveaCam，它的工作原理是捕捉一个微小的，快速移动的镜子反射。FoveaCams可以在多个感兴趣的区域获得高分辨率图像，即使这些区域位于不同的深度和观看方向。我们首先讨论我们的原型和光学校准策略。然后，我们概述了控制算法的镜子跟踪目标对。最后，我们展示了一个实际应用的完整系统，使眼睛跟踪在一定距离的正面脸。
Most cameras today photograph their entire visual field. In contrast, decades of active vision research have proposed foveating camera designs, which allow for selective scene viewing. However, active vision's impact is limited by slow options for mechanical camera movement. We propose a new design, called FoveaCam, and which works by capturing reflections off a tiny, fast moving mirror. FoveaCams can obtain high resolution imagery on multiple regions of interest, even if these are at different depths and viewing directions. We first discuss our prototype and optical calibration strategies. We then outline a control algorithm for the mirror to track target pairs. Finally, we demonstrate a practical application of the full system to enable eye tracking at a distance for frontal faces.